Triple

T33713307
Position Surface form Disambiguated ID Type / Status
Subject Langhus E863801 entity
Predicate municipalityPreviouslyPartOf P5557 FINISHED
Object Ski municipality NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ski municipality | Statement: [Langhus, municipalityPreviouslyPartOf, Ski municipality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalityPreviouslyPartOf
Context triple: [Langhus, municipalityPreviouslyPartOf, Ski municipality]
  • A. formerMunicipalityOf chosen
    Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
  • B. wasMunicipalityIn
    Indicates that an entity previously held the status of a municipality within a specified administrative or territorial unit.
  • C. formerMunicipalityDisestablished
    Indicates that a municipality, which previously existed as an administrative unit, was officially dissolved or ceased to exist at a specific point in time.
  • D. formerProvinceMunicipality
    Indicates that a municipality previously held the status of a province-level administrative unit but no longer does.
  • E. partOfMunicipalitySince
    Indicates that an entity has been included within and administratively belonging to a specific municipality starting from a given point in time.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f3498844608190bb8f9b14908d2510 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f73223675481908c1bc3208c0f5284 completed May 3, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69f7317690108190b3aae2cd2e1d069e completed May 3, 2026, 11:28 a.m.
Created at: May 1, 2026, 1:43 a.m.